Hélène Massam
- Statistics and Probability top 1%
- Statistical Methods and Bayesian Inference 14
- Advanced Statistical Methods and Models 13
- Statistical Methods and Inference 13
- Random Matrices and Applications 8
- Statistical Distribution Estimation and Applications 5
- Applied Mathematics top 5%
- Point processes and geometric inequalities 5
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 18
- Bayesian Modeling and Causal Inference 13
- Mathematical Physics top 10%
Hélène Massam
50 papers receiving 655 citations
Peers
Comparison fields: 5 of 91
- Statistics and Probability 384
- Discrete Mathematics and Combinatorics 51
- Applied Mathematics 94
- Artificial Intelligence 267
- Mathematical Physics 62
Countries citing papers authored by Hélène Massam
This map shows the geographic impact of Hélène Massam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hélène Massam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hélène Massam more than expected).
Fields of papers citing papers by Hélène Massam
This network shows the impact of papers produced by Hélène Massam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hélène Massam. The network helps show where Hélène Massam may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Hélène Massam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 11 | |
| 2 | 2020 | 4 | |
| 3 | 2017 | 2 | |
| 4 | 2017 | 1 | |
| 5 | The ratio of normalizing constants for Bayesian graphical Gaussian model selection | 2017 | 2 |
| 6 | A Mixed Prinmal-Dual Bases Algorithm for Regression under Inequality Constraints. Application to Concave regression | 2016 | 8 |
| 7 | 2016 | 4 | |
| 8 | 2011 | 1 | |
| 9 | 2011 | 20 | |
| 10 | 2010 | 5 | |
| 11 | 2008 | 20 | |
| 12 | 2006 | 1 | |
| 13 | 2005 | 21 | |
| 14 | 2004 | 13 | |
| 15 | 2001 | 9 | |
| 16 | Les femmes font des maths | 1993 | 2 |
| 17 | 1993 | 2 | |
| 18 | 1987 | 1 | |
| 19 | 1985 | 2 | |
| 20 | 1974 | 13 |
About Hélène Massam
Hélène Massam is a scholar working on Statistics and Probability, Applied Mathematics and Artificial Intelligence, having authored 50 papers that have together received 696 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (18 papers), Statistical Methods and Bayesian Inference (14 papers), Bayesian Modeling and Causal Inference (13 papers), Advanced Statistical Methods and Models (13 papers), Statistical Methods and Inference (13 papers), Random Matrices and Applications (8 papers), Point processes and geometric inequalities (5 papers) and Statistical Distribution Estimation and Applications (5 papers). The work is most often cited by research in Statistics and Probability (384 citations), Discrete Mathematics and Combinatorics (51 citations) and Applied Mathematics (94 citations). Hélène Massam has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Gérard Letac, Piotr Graczyk, Erhard Neher, Carla M. Carvalho, Michael L. West, Gérard Letac, Jacek Wesołowski, D. A. S. Fraser, Mathias Drton and Ingram Olkin. Their work appears in journals such as Journal of Multivariate Analysis, The Annals of Statistics, Biometrika, Journal of Theoretical Probability and Scandinavian Journal of Statistics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.